On Robust State Estimation of Gene Networks
Gene networks in biological systems are not only nonlinear but also stochastic due to noise corruption. How to accurately estimate the internal states of the noisy gene networks is an attractive issue to researchers. However, the internal states of biological systems are mostly inaccessible by direc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2010-01-01
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| Series: | Biomedical Engineering and Computational Biology |
| Online Access: | https://doi.org/10.1177/117959721000200001 |
| _version_ | 1818521645748322304 |
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| author | Chia-Hua Chuang Chun-Liang Lin |
| author_facet | Chia-Hua Chuang Chun-Liang Lin |
| author_sort | Chia-Hua Chuang |
| collection | DOAJ |
| description | Gene networks in biological systems are not only nonlinear but also stochastic due to noise corruption. How to accurately estimate the internal states of the noisy gene networks is an attractive issue to researchers. However, the internal states of biological systems are mostly inaccessible by direct measurement. This paper intends to develop a robust extended Kalman filter for state and parameter estimation of a class of gene network systems with uncertain process noises. Quantitative analysis of the estimation performance is conducted and some representative examples are provided for demonstration. |
| first_indexed | 2024-12-11T01:54:07Z |
| format | Article |
| id | doaj.art-d299d70f43504a3daff0b6669fe2db91 |
| institution | Directory Open Access Journal |
| issn | 1179-5972 |
| language | English |
| last_indexed | 2024-12-11T01:54:07Z |
| publishDate | 2010-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Biomedical Engineering and Computational Biology |
| spelling | doaj.art-d299d70f43504a3daff0b6669fe2db912022-12-22T01:24:40ZengSAGE PublishingBiomedical Engineering and Computational Biology1179-59722010-01-01210.1177/117959721000200001On Robust State Estimation of Gene NetworksChia-Hua Chuang0Chun-Liang Lin1Department of Electrical Engineering, National Chung Hsing University, Taichung 402, Taiwan, ROC.Department of Electrical Engineering, National Chung Hsing University, Taichung 402, Taiwan, ROC.Gene networks in biological systems are not only nonlinear but also stochastic due to noise corruption. How to accurately estimate the internal states of the noisy gene networks is an attractive issue to researchers. However, the internal states of biological systems are mostly inaccessible by direct measurement. This paper intends to develop a robust extended Kalman filter for state and parameter estimation of a class of gene network systems with uncertain process noises. Quantitative analysis of the estimation performance is conducted and some representative examples are provided for demonstration.https://doi.org/10.1177/117959721000200001 |
| spellingShingle | Chia-Hua Chuang Chun-Liang Lin On Robust State Estimation of Gene Networks Biomedical Engineering and Computational Biology |
| title | On Robust State Estimation of Gene Networks |
| title_full | On Robust State Estimation of Gene Networks |
| title_fullStr | On Robust State Estimation of Gene Networks |
| title_full_unstemmed | On Robust State Estimation of Gene Networks |
| title_short | On Robust State Estimation of Gene Networks |
| title_sort | on robust state estimation of gene networks |
| url | https://doi.org/10.1177/117959721000200001 |
| work_keys_str_mv | AT chiahuachuang onrobuststateestimationofgenenetworks AT chunlianglin onrobuststateestimationofgenenetworks |